ETL & Database Engineering Trainer

12 hours ago

Noida, Uttar Pradesh, India MyAnatomy Integration Full time ₹ 5,00,000 - ₹ 15,00,000 per year

Job Overview

We are seeking an experienced ETL and Data Engineering Trainer to deliver an industry-focused

course on "Industry-Ready ETL Pipelines Development". The trainer will guide students in

mastering data extraction, transformation, loading, orchestration, and monitoring using both

traditional and modern ETL tools with a focus on no-code and low-code platforms.

Key Responsibilities


• Deliver interactive and practical sessions on ETL concepts, data modeling, and pipeline

automation.


• Train students on ETL tools (Informatica, Talend, Pentaho) and modern orchestration

frameworks (Airflow, AWS Glue, dbt, Prefect).


• Guide learners through Python scripting, SQL transformations, and cloud-based data

warehousing.


• Mentor students during the Capstone Project, helping them build and present complete ETL

pipelines.


• Conduct hands-on labs, assignments, and periodic evaluations to measure learning outcomes.


• Demonstrate real-world data engineering workflows integrating APIs, files, and databases.


• Teach DataOps practices such as CI/CD, version control (Git), and automated testing for data

quality.


• Provide continuous feedback, troubleshooting assistance, and career-oriented guidance.

Technical Skills Required


• Python (Pandas, APIs, DB connectivity), Advanced SQL


• ETL Tools: Talend, Informatica PowerCenter, Pentaho


• Modern Stack: Apache Airflow, AWS Glue, dbt, Prefect


• Databases: MySQL, PostgreSQL, MongoDB


• Cloud Data Warehouses: Snowflake, BigQuery, Redshift, Azure Synapse


• Version Control: Git, GitHub, Docker, CI/CD workflows


• Visualization: Power BI or Tableau (preferred)

Preferred Qualifications


• Bachelor's / Master's Degree in Computer Science, Data Engineering, or related field.


• 3–8 years of hands-on experience in Data Engineering / ETL Development.


• Experience with data pipeline design, orchestration, and deployment.


• Prior experience in academic teaching, corporate training, or technical mentoring preferred.


• Strong understanding of data modeling, warehousing principles, and data governance.

Soft Skills


• Strong communication and presentation abilities.


• Ability to explain complex concepts through real-world analogies and live demos.


• Analytical thinking and problem-solving mindset.


• Passion for mentoring and fostering student engagement.


• Excellent time management and curriculum delivery discipline.

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